|
gptkbp:instance_of
|
gptkb:conference
|
|
gptkbp:attendees
|
gptkb:engineers
gptkb:developers
gptkb:researchers
|
|
gptkbp:cockpit
|
industry experts
academic leaders
|
|
gptkbp:exhibitor
|
research institutions
startups
technology companies
|
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gptkbp:feedback
|
attendee surveys
session ratings
speaker evaluations
|
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gptkbp:focus
|
gptkb:NVIDIA
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gptkbp:held_in
|
gptkb:NVIDIA
|
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https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA GPU Technology Conference 2013
|
|
gptkbp:location
|
gptkb:San_Jose,_California
|
|
gptkbp:media_coverage
|
news articles
press releases
technology media
|
|
gptkbp:network
|
opportunities
|
|
gptkbp:next_event
|
gptkb:NVIDIA_GPU_Technology_Conference_2014
gptkb:NVIDIA_GPU_Technology_Conference_2015
|
|
gptkbp:notable_speakers
|
gptkb:Jen-Hsun_Huang
|
|
gptkbp:offers_workshops_on
|
tutorials
hands-on labs
|
|
gptkbp:outcome
|
collaborations
new technologies
partnerships
product announcements
research advancements
|
|
gptkbp:session
|
workshops
panels
technical sessions
|
|
gptkbp:sponsors
|
gptkb:NVIDIA
various tech companies
|
|
gptkbp:topics
|
gptkb:machine_learning
deep learning
high-performance computing
parallel computing
AI applications
graphics rendering
visual computing
|
|
gptkbp:year
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gptkb:2013
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gptkbp:bfsParent
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gptkb:Ge_Force_700
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gptkbp:bfsLayer
|
5
|